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AI Art - Stable Diffusion
AI Art - Stable Diffusion (Android)

Download AI Art - Stable Diffusion

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AI Art - DiffusionArt

DiffusionArt is a curated library of opensource AI Art Models specializing in Anime & Photorealistic image generation across dozens of categories. Each model is pre-trained on unique styles and is easy to use on any device. Simply input a text prompt and the model will generate weird and amazing results! Unlike other apps that only utilize a single model for generative tasks, DiffusionArt allows users to simultaneously run the same prompt across multiple models for the best results.

Stable Diffusion is one of the most advanced, sophisticated AI text-to-image synthesis algorithms available. It is widely considered to be the driving force behind the new generation of generative AI apps that are changing the world, bringing creativity to everyone, not just to wealthy, talented people. It is the technology that makes apps like Clipdrop and DreamStudio possible, allowing anyone to do generative art and image manipulation.

With stable diffusion, you can create an image from a text description without having to specify any explicit details. This makes it a great tool for illustrating complex concepts or ideas with minimal time investment. It also allows for more realistic and naturalistic images, compared to previous text-to-image models such as VQGAN+CLIP or CLIP-Guided Diffusion.

The app offers several settings to tweak the generated results, including parameters for sampling method, batch size, and more. You can also select the type of style to use for the image (e.g., Anime, Photographic, Digital Art, Comic Book, Fantasy Art, Analog Film, Isometric, Low Poly, Origami, Craft Clay, Cinematic, or 3D Model). The website has a couple of other options that allow you to upload an existing image and modify it with the generative AI, and you can even select different models for each type of image.

by marukogemarubouya
Technical information
Operating System
Android
Downloads
53
Rating
Average: 9.6 / 10 (312 votes)
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